|
|
Absolute deviation, 绝对离差
1 W! G7 c g) ]7 ^% A# ^, KAbsolute number, 绝对数$ [: {2 n" `, V0 l+ Z
Absolute residuals, 绝对残差. r* }% x) }; i+ x" R
Acceleration array, 加速度立体阵2 _6 \& R2 m6 `- T
Acceleration in an arbitrary direction, 任意方向上的加速度
1 w v* E" p, d- {9 p( RAcceleration normal, 法向加速度
7 \3 k& I5 x E) `! rAcceleration space dimension, 加速度空间的维数
4 I2 ^" s9 X2 D/ e- {! MAcceleration tangential, 切向加速度3 o0 ^8 l( ]- G- ]" P! D
Acceleration vector, 加速度向量! n) g5 Z) @& D4 o
Acceptable hypothesis, 可接受假设/ M7 s6 H7 j8 p$ K& y1 b, L
Accumulation, 累积( u' b" x0 D! M& w/ g8 C
Accuracy, 准确度 I/ E# }, S7 t- @$ c
Actual frequency, 实际频数
* {( _5 {- W- ` zAdaptive estimator, 自适应估计量
9 \" L! e8 B- A3 Z: AAddition, 相加
- `! C# F9 \% a7 F; RAddition theorem, 加法定理
& g9 j' G$ T% W8 r$ ~Additivity, 可加性. n9 ]1 g' A- R; h r0 Z; x) ^9 P+ |
Adjusted rate, 调整率1 A4 E0 m G, r5 b7 q/ }' L
Adjusted value, 校正值% e+ S9 q$ l4 ?. H! ?
Admissible error, 容许误差: y' R- j7 [2 v' k
Aggregation, 聚集性
# n; R& S, C! Y4 C7 Q1 uAlternative hypothesis, 备择假设
" J% v) h, _2 j9 Z7 K2 G- o7 E! M; eAmong groups, 组间
g9 x; r0 u- O3 h1 R8 _Amounts, 总量
2 Z$ ~' @/ }- V+ ~# B( }3 TAnalysis of correlation, 相关分析. g& `& ^$ x' l% U p/ E* m% r
Analysis of covariance, 协方差分析
. ]5 P& x- M/ z: x9 KAnalysis of regression, 回归分析2 D4 y, I7 [% [# L% E# t
Analysis of time series, 时间序列分析
; l6 ^0 F: y( ]) N" pAnalysis of variance, 方差分析& g8 J) z' }* S# X% y! L
Angular transformation, 角转换1 R3 y5 {& ?7 o- h, o9 p
ANOVA （analysis of variance）, 方差分析' M, A" A) U3 H9 F* E& }- e; x
ANOVA Models, 方差分析模型- l9 T3 Y1 s9 d3 M% h
Arcing, 弧/弧旋% ^6 R& S" ]2 f9 k# q
Arcsine transformation, 反正弦变换
$ A8 i/ f: Z: a; {) {Area under the curve, 曲线面积* U0 g0 r) i6 j0 b& z, o
AREG , 评估从一个时间点到下一个时间点回归相关时的误差 2 p& p% p2 P# d
ARIMA, 季节和非季节性单变量模型的极大似然估计 ( ]/ J& ]5 U* P5 l
Arithmetic grid paper, 算术格纸3 s' [7 a) j9 O- r3 _
Arithmetic mean, 算术平均数, D+ n) K& Q2 [9 h3 ?# ~ ~
Arrhenius relation, 艾恩尼斯关系7 q& v% i. x4 a3 N; O
Assessing fit, 拟合的评估
3 z- k/ D" _* B' G" }3 s& \Associative laws, 结合律
. r0 F8 ]1 U5 d; y8 T' S1 HAsymmetric distribution, 非对称分布
0 Y- l3 f! i: ?$ ZAsymptotic bias, 渐近偏倚
* t) N3 M' b$ D, k# _3 m# BAsymptotic efficiency, 渐近效率2 N5 S3 d0 ?0 }
Asymptotic variance, 渐近方差; y8 x% H5 u% t1 C% X5 e
Attributable risk, 归因危险度9 i1 J% K; V! P6 L% a3 F
Attribute data, 属性资料
1 }( t* l; W- M6 ]Attribution, 属性% L8 E" \ H4 C" C6 ^% `
Autocorrelation, 自相关
1 A2 h! t% Q) n, T& m! P( yAutocorrelation of residuals, 残差的自相关+ u8 }) H0 B9 \6 P& T# @4 Q
Average, 平均数5 B" {( V% U% g2 N7 q$ m" C7 |9 Q
Average confidence interval length, 平均置信区间长度! W5 w+ h* a2 ^ [
Average growth rate, 平均增长率
; {8 T U' ~4 Y8 J4 b- G2 x8 |Bar chart, 条形图
5 g0 I: a, Z% R! t; x; m4 gBar graph, 条形图
3 B4 r: l5 K7 I4 VBase period, 基期
. l6 Z; g& |- TBayes' theorem , Bayes定理9 _" C4 V6 b+ {" K; _" d9 ^0 v
Bell-shaped curve, 钟形曲线/ h' s5 c: w# M4 q0 [( v( Y& t% H# [; S
Bernoulli distribution, 伯努力分布
6 b' r' ]. K; `Best-trim estimator, 最好切尾估计量5 y" o& @0 K, N! ]! P
Bias, 偏性: T- V7 b. G/ m! c9 ]$ v
Binary logistic regression, 二元逻辑斯蒂回归
8 Q1 D8 {- u; bBinomial distribution, 二项分布
, d9 U3 l* d8 k4 Z+ ABisquare, 双平方
- P* g: O* s6 b7 W( {Bivariate Correlate, 二变量相关3 N% C* M$ r: Z2 t; D0 p' ]
Bivariate normal distribution, 双变量正态分布
. i/ u& |% v4 _ M$ eBivariate normal population, 双变量正态总体# y/ L2 P) T; A) |* T
Biweight interval, 双权区间2 y6 S& X$ o( k6 H/ X# _
Biweight M-estimator, 双权M估计量
% P1 V3 k! S. o' ]9 o3 U3 l2 k$ hBlock, 区组/配伍组2 U0 @1 Q; ~9 m2 w& `2 W$ }
BMDP(Biomedical computer programs), BMDP统计软件包
4 S, q9 ]( |* |+ Z [Boxplots, 箱线图/箱尾图
# |8 w$ B1 ` g B; N! k4 rBreakdown bound, 崩溃界/崩溃点3 J# w4 c1 C7 d6 s* Q$ Y/ R1 Y) y
Canonical correlation, 典型相关 I5 t$ _8 a( Y1 n% i
Caption, 纵标目: e( q* |2 P: N& `4 s
Case-control study, 病例对照研究
5 L( J8 e$ C* T& E2 a) GCategorical variable, 分类变量# P! O4 \. C' e
Catenary, 悬链线
$ v r0 p4 Z+ XCauchy distribution, 柯西分布9 I3 H7 L% R6 g/ j) s6 E3 K
Cause-and-effect relationship, 因果关系
; m5 C3 h) r$ Z( ?% BCell, 单元
; j9 b2 K3 `) n6 B. QCensoring, 终检: m3 n' Q* o, z( ?* w
Center of symmetry, 对称中心# F8 t) N- |( a0 v1 ^/ p
Centering and scaling, 中心化和定标
; s8 F9 a) F6 `1 B1 c* }3 ?9 y7 wCentral tendency, 集中趋势
2 i+ r! e- a8 G( Y4 x$ pCentral value, 中心值
( [! z/ q$ \8 ^# R% ACHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测0 O' o) z6 N( Y' U9 @ M
Chance, 机遇$ u! z5 w% V2 u
Chance error, 随机误差6 B! ?0 I b3 Q
Chance variable, 随机变量
7 H1 K2 w9 U& S; r8 V# WCharacteristic equation, 特征方程
9 E' u* o* I& M8 v' C1 D/ gCharacteristic root, 特征根7 C1 ?" F4 ?0 D7 b8 S- x6 r
Characteristic vector, 特征向量+ u& r0 I$ C/ i, G; }
Chebshev criterion of fit, 拟合的切比雪夫准则
7 S! y5 k- {* V% U, I, NChernoff faces, 切尔诺夫脸谱图, |. u: N+ _- W4 k
Chi-square test, 卡方检验/χ2检验* g; b3 q- [, C! l2 n$ s5 C
Choleskey decomposition, 乔洛斯基分解% p+ I% U3 t* I2 T) r
Circle chart, 圆图
# C2 y B' _2 LClass interval, 组距
' Q, l% z/ D: S7 q' L( bClass mid-value, 组中值
% W/ s( E2 ^. @8 oClass upper limit, 组上限
4 \6 O' A6 k, o7 S9 DClassified variable, 分类变量7 g8 a( l2 W2 F, u* l; C
Cluster analysis, 聚类分析- |% a. |& L' O2 \( o
Cluster sampling, 整群抽样& B, c, V O0 w5 ^
Code, 代码
( S/ f7 U9 y( L, v: d& \Coded data, 编码数据, o, W$ z+ d5 m( F
Coding, 编码1 u$ }0 ?! S. C& @! R, M
Coefficient of contingency, 列联系数' x* G8 p1 y3 g9 l' X
Coefficient of determination, 决定系数
U3 l" Y3 F$ T! x/ K* UCoefficient of multiple correlation, 多重相关系数
8 U4 ?" A o+ Z$ D; HCoefficient of partial correlation, 偏相关系数( \! c& R% U0 |
Coefficient of production-moment correlation, 积差相关系数1 c8 c* t9 m2 n7 `& n( ?( R
Coefficient of rank correlation, 等级相关系数" v* c: i5 F% B4 p9 ~$ @
Coefficient of regression, 回归系数
Y$ ]+ D" P) T8 O; F4 v$ XCoefficient of skewness, 偏度系数
: m. d" t6 h9 \( D( z# j& P0 h aCoefficient of variation, 变异系数" ?2 G6 k/ E# i; B# F
Cohort study, 队列研究5 b& i. B# ~; d6 X4 g
Column, 列
! l9 k0 z0 A$ LColumn effect, 列效应; K" f7 O1 e. S8 `
Column factor, 列因素3 h# G Z9 o0 @/ |1 ?' d- \
Combination pool, 合并
5 d" R- R- y6 B0 ^, }, `Combinative table, 组合表
, v% {0 I, H, S$ Z8 XCommon factor, 共性因子
' g$ f4 @ n; o& n$ Z: iCommon regression coefficient, 公共回归系数' _2 Y7 p" l+ C- S7 K7 T- [# t
Common value, 共同值& ]+ C9 W/ o& c9 f! [# ]7 U5 P
Common variance, 公共方差, G( R5 i. h; S; L" M9 `5 J
Common variation, 公共变异
% S( x1 E& ~) V* W6 u. ~1 \. ICommunality variance, 共性方差# ~4 C. M" v; p) Z* t* t
Comparability, 可比性
" I' X& ]! N8 J( p# cComparison of bathes, 批比较+ o' p S8 H. [4 Z( K& l5 y
Comparison value, 比较值
* B0 ^3 ?( R1 Z% t9 a2 ^; xCompartment model, 分部模型
& r7 y+ ?1 X9 d/ E* G' @Compassion, 伸缩# O9 {" ?3 A1 T- V8 E! @
Complement of an event, 补事件
1 L5 F/ q. G3 aComplete association, 完全正相关
( T) d, A _% K, wComplete dissociation, 完全不相关, C* w# w( i0 v2 [% T6 k/ K9 l9 E6 P+ e
Complete statistics, 完备统计量
& Y. E9 }, y0 B) r6 V# A8 hCompletely randomized design, 完全随机化设计/ ^) u% {. t; |! q4 V
Composite event, 联合事件8 R0 \2 a" u; {' A! k' q3 V
Composite events, 复合事件. [, n" i- Y( G* }" T3 n
Concavity, 凹性) C7 w3 U' E# u# y" ? E) S
Conditional expectation, 条件期望
2 r3 K% E/ j9 R: m3 b" R! MConditional likelihood, 条件似然/ I# s2 r( L4 _' }
Conditional probability, 条件概率* H) U6 N$ ~& w# d
Conditionally linear, 依条件线性& \2 V% T: o& x( `- A' Z3 X
Confidence interval, 置信区间
1 `2 e4 r& X' N1 c6 K( VConfidence limit, 置信限
7 j; G0 |: k+ g: X6 Y% YConfidence lower limit, 置信下限, A6 Z) v u& ]0 ?% P" ]
Confidence upper limit, 置信上限
, L; X& b$ M: v4 p; n9 v. s1 ^Confirmatory Factor Analysis , 验证性因子分析
5 T$ C1 u0 [5 K. H2 ]8 YConfirmatory research, 证实性实验研究0 ]0 f5 a" {0 z, m, E
Confounding factor, 混杂因素
- R: {9 Y4 ^7 Q& U; LConjoint, 联合分析
2 ]9 e, u6 b8 _2 A1 m9 x" {) @Consistency, 相合性
! d5 P0 U ~* N9 nConsistency check, 一致性检验
4 B7 t* H% m/ t' e5 ~$ BConsistent asymptotically normal estimate, 相合渐近正态估计1 B) c: f/ Y, e( f' X; q, _
Consistent estimate, 相合估计( H2 F3 d+ P7 X8 a/ Z
Constrained nonlinear regression, 受约束非线性回归0 n, r+ x6 |3 V/ c B3 V
Constraint, 约束. ^2 g1 ]5 }; p4 K0 w( d
Contaminated distribution, 污染分布1 g1 l* l" V+ z U/ `, i$ o
Contaminated Gausssian, 污染高斯分布
i5 l' [1 W! H; e1 y' b1 uContaminated normal distribution, 污染正态分布
6 j; ?% b4 |% h& x2 o5 p# F: ZContamination, 污染
! v% o' @6 K# [Contamination model, 污染模型
' A( f: _. S/ o5 K# LContingency table, 列联表$ [3 ~) t: J z ^. `5 K
Contour, 边界线
! }: }$ T" c& \ y o6 iContribution rate, 贡献率. o4 O* D0 R( c9 f
Control, 对照
7 \' _& `. m# t2 x& lControlled experiments, 对照实验
# i5 H7 G& R3 GConventional depth, 常规深度1 D" u) d9 r8 L" G" c( g9 o! o
Convolution, 卷积9 O/ ]; A0 D d! z6 W
Corrected factor, 校正因子
7 b" f: }- o7 u: ]& L/ |Corrected mean, 校正均值
4 @0 n* u, Q$ W1 d, d. ?Correction coefficient, 校正系数! P. ]7 \: e7 b5 m3 C; V; @
Correctness, 正确性
1 @# m" `2 y' g4 g% _, \* B0 WCorrelation coefficient, 相关系数
% z3 P1 d2 }0 m+ ?Correlation index, 相关指数( o; |& C6 s% F1 E5 \9 H+ c
Correspondence, 对应
6 R! A W# H- ]8 P) O9 x6 P& u/ aCounting, 计数
5 r5 \: r5 O9 T6 JCounts, 计数/频数/ z( ~6 _* d! \* @
Covariance, 协方差
3 v& ^0 C) [( d7 P: ~Covariant, 共变
* q. g) ]6 V+ |8 {$ W4 t- s, ^. tCox Regression, Cox回归/ m d" G1 h, N% V
Criteria for fitting, 拟合准则; f: O7 B/ I, J& W
Criteria of least squares, 最小二乘准则
/ \% k, J0 [2 a; r+ ~Critical ratio, 临界比
4 E( H1 E! g1 m) A+ v: ACritical region, 拒绝域7 z! v; Q. [7 ^5 q
Critical value, 临界值( j3 Z( k& W$ K e4 i0 x
Cross-over design, 交叉设计
% ]: ~9 ^: c1 k, n& K% [* ~1 m/ aCross-section analysis, 横断面分析9 [& h2 c; b/ O$ Y; `
Cross-section survey, 横断面调查9 H& c- f( u X4 D
Crosstabs , 交叉表 / M7 k& K. K# s' N# I9 t
Cross-tabulation table, 复合表
1 a- O6 c. G; h2 W& t5 r9 o ACube root, 立方根
6 y4 R: U4 G! tCumulative distribution function, 分布函数
# U- P! y" d% S' d' b" n" TCumulative probability, 累计概率
5 h+ `0 @' d) X' }+ b0 J$ NCurvature, 曲率/弯曲
0 o# K# o; \5 V* F KCurvature, 曲率
4 i9 _5 v+ c2 C( n0 |% p( ?" UCurve fit , 曲线拟和 , C( t* r! ?- `1 G# J
Curve fitting, 曲线拟合
# C" j! |! `8 M! \! I" }Curvilinear regression, 曲线回归6 b5 J9 _. e4 x# o" ?
Curvilinear relation, 曲线关系
4 B! |* Y! ?1 b7 x3 J8 ]$ y& iCut-and-try method, 尝试法
+ c, _& n% G5 s! q. r1 \Cycle, 周期8 u+ n9 T% P s9 `
Cyclist, 周期性
5 s) m0 O" z, @- Z4 S& v6 C2 o3 lD test, D检验 L6 T4 l3 M0 t1 i A
Data acquisition, 资料收集7 ~2 O3 Y% Z! G( V! t
Data bank, 数据库
, _' _9 u. L/ H! f% F9 iData capacity, 数据容量0 B. V5 X+ I3 h9 \1 o. I
Data deficiencies, 数据缺乏
& N5 q! R& e5 g4 F! G' z3 q5 _, UData handling, 数据处理
5 T6 C0 s x3 wData manipulation, 数据处理
! ^, z0 ?" z2 q" R! Z6 N/ uData processing, 数据处理
! V8 ~4 v3 s" HData reduction, 数据缩减8 {9 Z! j3 G' D) P2 {$ m* B) i' r
Data set, 数据集
, H# }! d: U) r4 r e! ~# {Data sources, 数据来源8 m9 ]7 w( u2 \) a9 e% b, \) E( ^
Data transformation, 数据变换9 x. }% p0 _/ G* @* M* Y
Data validity, 数据有效性$ u2 G" e- ?7 }) i! D+ c$ K
Data-in, 数据输入9 G# z# O% S& g8 E
Data-out, 数据输出$ p- ~3 ~3 T6 j, y$ N
Dead time, 停滞期
4 c4 f; S2 G6 Z. A7 B- A- a- ^Degree of freedom, 自由度+ q0 m d4 N9 c
Degree of precision, 精密度. B, E* V& W9 M. ~( h7 n4 K, O5 ^
Degree of reliability, 可靠性程度0 `& L( G: P* M! h0 J
Degression, 递减& J$ Z: {. @5 [/ [
Density function, 密度函数7 u/ E5 p3 {# `- d
Density of data points, 数据点的密度2 l8 a& O' b4 L& G
Dependent variable, 应变量/依变量/因变量
! ]& Z& W; P& _, E8 M4 y& _Dependent variable, 因变量9 ^* Y# l4 H# |' I
Depth, 深度0 e, J8 I/ r% n) l. z; W+ s
Derivative matrix, 导数矩阵. P$ N( V, _6 m6 G/ P: O* `
Derivative-free methods, 无导数方法# E; T, L3 y# _- ~( F
Design, 设计: I& \! I) I# a# f# q6 j: A9 o" y
Determinacy, 确定性
9 J/ n4 F4 }+ TDeterminant, 行列式
- H( y5 {/ n9 R' ]Determinant, 决定因素
0 K7 P3 O. g# ^Deviation, 离差3 E8 }2 z' ]8 A& t6 u1 q6 b
Deviation from average, 离均差. H3 Q z: P( ]+ M! r/ t: N9 O6 U
Diagnostic plot, 诊断图
! j/ n" l6 d7 q# YDichotomous variable, 二分变量
! l% ]0 c0 j% A; a( Z1 @8 nDifferential equation, 微分方程
$ m1 v9 _& l9 ?5 W0 z& EDirect standardization, 直接标准化法% o% Q* s7 i! a. @) P S% E4 t
Discrete variable, 离散型变量; j$ _- j9 A. L5 m! o" Z$ o
DISCRIMINANT, 判断 0 H2 h \: m- K8 O: S D. e7 m3 ~# R
Discriminant analysis, 判别分析
2 I$ l5 i0 A4 M3 cDiscriminant coefficient, 判别系数9 l) M# e! H5 C# k. g# l
Discriminant function, 判别值6 W: J% A+ o+ d2 }# a; t
Dispersion, 散布/分散度) b" N { f5 n3 e/ i
Disproportional, 不成比例的
- c0 L5 A' S }) ~8 d8 v3 yDisproportionate sub-class numbers, 不成比例次级组含量$ _6 a! X, a. L
Distribution free, 分布无关性/免分布
( X# |( R/ Y! r bDistribution shape, 分布形状
, s4 v. g" K1 |/ kDistribution-free method, 任意分布法0 h; D7 ^0 C4 |5 @) }6 {0 O
Distributive laws, 分配律
/ H+ t4 o) \' f6 @. BDisturbance, 随机扰动项' i8 _6 m1 ~. i1 E# m4 i+ k
Dose response curve, 剂量反应曲线
6 h4 |; n D/ Z7 h1 O7 r6 a+ SDouble blind method, 双盲法
( b# C4 D; O8 ~6 X: j5 j7 GDouble blind trial, 双盲试验
! x# i0 E+ {$ b+ \- ]Double exponential distribution, 双指数分布3 C2 o _# Q1 ^- {# P* D- t
Double logarithmic, 双对数/ ^/ U2 B) E" o2 H: f
Downward rank, 降秩, x6 A* W0 z" d; F
Dual-space plot, 对偶空间图% R8 r. y% _9 [! f; Q) Q
DUD, 无导数方法1 p' c5 {7 \& c" U' w
Duncan's new multiple range method, 新复极差法/Duncan新法
: [+ z* R; k7 u! X& eEffect, 实验效应' K8 o; F5 ^2 F4 c8 y. J/ u
Eigenvalue, 特征值; H0 r ^5 F6 l1 u3 ^ S
Eigenvector, 特征向量+ @- f! j' {; \$ }2 i9 j! Z
Ellipse, 椭圆
6 Q5 Y; \: t* i8 R6 ~- r* s! VEmpirical distribution, 经验分布' F5 M6 @/ j. m8 B) _* U- j2 S
Empirical probability, 经验概率单位
- L! [$ z; O! z/ J B; N fEnumeration data, 计数资料
9 j8 M* ~( b- UEqual sun-class number, 相等次级组含量
" I2 C2 c. n. v8 e# r3 DEqually likely, 等可能
8 T0 B; k0 o: |0 s6 l4 cEquivariance, 同变性, d* l/ Y3 R+ w, I5 |
Error, 误差/错误
4 {! ]9 e9 h* P+ Q) N+ mError of estimate, 估计误差
& p0 C7 u& w( X" A. yError type I, 第一类错误
- T/ k5 H2 X2 T% L+ W) `3 t, A7 `Error type II, 第二类错误4 `, p/ P5 N; L
Estimand, 被估量
' S, t/ o& s2 d6 iEstimated error mean squares, 估计误差均方
5 b" A! Q0 C3 S4 t) D: v+ ]Estimated error sum of squares, 估计误差平方和
5 T7 {/ X) X- j! bEuclidean distance, 欧式距离# U, u& A; g6 _3 @; s: k/ d
Event, 事件
, P+ G$ P4 x7 l* g9 aEvent, 事件
: {6 l- l1 E# u- E S( r( T! U: aExceptional data point, 异常数据点
/ o8 g% j" z1 a5 D& VExpectation plane, 期望平面
- {! ]$ w8 I7 J! E! J1 D* y5 w" ^Expectation surface, 期望曲面
. o$ u( K D# l/ gExpected values, 期望值- V! r3 I0 Z: B+ J- A" s" f
Experiment, 实验! s @, s+ E* m) _
Experimental sampling, 试验抽样; c9 x, W( ~* s" n
Experimental unit, 试验单位7 O+ ~+ I3 k- q+ r
Explanatory variable, 说明变量
8 O1 u) ?3 ]( n0 i3 B# d( \1 BExploratory data analysis, 探索性数据分析
0 {6 @" c) i8 Y/ \( @% lExplore Summarize, 探索-摘要
* ~6 Q$ W; w0 J1 i! X$ aExponential curve, 指数曲线- m+ C8 \$ o3 l8 G2 M3 g' _
Exponential growth, 指数式增长
# s$ d- E- s! L1 YEXSMOOTH, 指数平滑方法 4 ]9 i! p- K0 z9 F
Extended fit, 扩充拟合1 Z R1 J6 n3 O+ ^$ {8 Q6 \5 T
Extra parameter, 附加参数
2 y: O; a _9 O, z' q$ iExtrapolation, 外推法+ `/ ~; W" ]* F2 E: N2 n; n
Extreme observation, 末端观测值' f$ A1 r U6 N
Extremes, 极端值/极值
( v0 P! P- N3 f6 P ]9 c5 p% \: HF distribution, F分布
; j$ D) i# i/ }8 J/ MF test, F检验
& ]; P7 g% }. T& i2 `6 cFactor, 因素/因子" L; Y- p3 _2 P% ^" X$ b) Y1 G
Factor analysis, 因子分析
6 m. H& V* ?' ]" E) y2 y* C a% CFactor Analysis, 因子分析3 P4 b8 Z B" ?: J
Factor score, 因子得分 * ~$ `1 B4 h' p7 P6 S/ t; O1 p
Factorial, 阶乘1 y0 h( o1 {, o: I! Y, h
Factorial design, 析因试验设计
2 r' @9 ~2 q; k3 Y7 l5 S5 O/ uFalse negative, 假阴性
) ^+ M) R$ J" d" |False negative error, 假阴性错误0 V% E7 m8 }1 z; v
Family of distributions, 分布族) j' u7 l+ x0 q3 Q# D: P( Q
Family of estimators, 估计量族! J# A5 v+ |+ B! R. t
Fanning, 扇面 ^" E9 E/ C* F6 E
Fatality rate, 病死率& z. Y' @8 e; j
Field investigation, 现场调查7 E x' }) C8 ]. p1 A8 y
Field survey, 现场调查: _) H. p1 ~& N0 B' c" Z, s
Finite population, 有限总体
, C3 X6 b( Y" E. D+ iFinite-sample, 有限样本
8 J1 b, l: T) ^6 TFirst derivative, 一阶导数6 b; ?( r* N( H( k
First principal component, 第一主成分3 W" ^6 e$ | D$ O( `
First quartile, 第一四分位数
6 e+ k$ N& K% ?9 r7 C$ J5 r4 X" U, GFisher information, 费雪信息量
! s0 N% m( {' z( iFitted value, 拟合值
/ r- L: b9 e+ i1 T9 M# EFitting a curve, 曲线拟合; U" {' |* ~2 t# D" \2 F' z
Fixed base, 定基& U7 m, ^( Z5 F6 N
Fluctuation, 随机起伏
/ ?; o0 C9 i9 E; g% t3 V$ o( sForecast, 预测; R8 w, N% J) b4 y' p! ^7 S
Four fold table, 四格表6 N: a( L% M& x3 C5 a4 U3 \. F
Fourth, 四分点
& n8 s) x% ~, Q3 V' eFraction blow, 左侧比率
' a1 p: |- L2 H5 N0 Y- dFractional error, 相对误差
( F7 M" [$ r Z3 D) t, e( r+ J* WFrequency, 频率; @6 [7 Z( o# w. Q1 X N) g9 q+ ]' a
Frequency polygon, 频数多边图# Z6 E) ~# J. V& O
Frontier point, 界限点, ^+ i* H, z% ^; G
Function relationship, 泛函关系
) Q9 [6 C/ n- a; [4 iGamma distribution, 伽玛分布
4 S/ D; y" i+ e. s! gGauss increment, 高斯增量$ `5 p! q8 C2 x6 D! `; f
Gaussian distribution, 高斯分布/正态分布
$ T4 B: o ]. m' T( x; iGauss-Newton increment, 高斯-牛顿增量
3 _# R8 i5 `' D3 qGeneral census, 全面普查8 \2 r+ C) m5 Z0 b* q6 \" L
GENLOG (Generalized liner models), 广义线性模型
6 [5 o) l2 N6 e; P% sGeometric mean, 几何平均数
4 o/ s0 j; @& n' y9 r; {Gini's mean difference, 基尼均差
3 x5 h3 [. a7 ^ c3 U/ f& j ?GLM (General liner models), 一般线性模型 6 u7 Y* y T/ d9 J5 @8 b
Goodness of fit, 拟和优度/配合度
* {8 G! K% q' ?4 c% \/ jGradient of determinant, 行列式的梯度6 |) {1 |+ m" P6 t: Q: h. G
Graeco-Latin square, 希腊拉丁方$ E# P, e0 k4 Q$ N( R- v: E2 B
Grand mean, 总均值
; `$ d- N. V0 z7 e4 sGross errors, 重大错误5 P* M/ ]8 @: L( Z
Gross-error sensitivity, 大错敏感度5 [& J. ^; r' n- r8 e
Group averages, 分组平均
$ F; Y- [5 U- V( q2 mGrouped data, 分组资料8 `9 U& C% N F( b; L! v; \
Guessed mean, 假定平均数
' j" ]3 x( \, C$ Z6 N8 T' eHalf-life, 半衰期4 B% P; x* ~' H/ ^* W
Hampel M-estimators, 汉佩尔M估计量
' ^, L' d8 B: t# W3 `Happenstance, 偶然事件( f6 N. v6 x9 A. _9 e
Harmonic mean, 调和均数
1 I4 y% @6 [- f( KHazard function, 风险均数6 _ N9 N+ H3 V
Hazard rate, 风险率& B2 e/ W' J8 n
Heading, 标目
* }. b& d+ ]+ s% q3 n$ wHeavy-tailed distribution, 重尾分布
: @& a+ o' s% e* \$ K k% ]# YHessian array, 海森立体阵9 W, A' M, h1 d s1 S( p8 n
Heterogeneity, 不同质% E! v( i1 D5 Q6 ^
Heterogeneity of variance, 方差不齐
$ p( J# L) v$ g! Y5 s4 [Hierarchical classification, 组内分组6 L% }; \, t3 c- v+ T; w0 n
Hierarchical clustering method, 系统聚类法
+ _6 ~$ y+ a9 B) K @$ f) BHigh-leverage point, 高杠杆率点! o# D$ X8 g( w6 s, R: y& @
HILOGLINEAR, 多维列联表的层次对数线性模型
2 p5 a+ ^1 R* L; w4 {# {# VHinge, 折叶点6 R: R8 e7 ?' q
Histogram, 直方图
! E1 I5 _3 G" ~7 u$ {Historical cohort study, 历史性队列研究 , D* x. i8 W1 `8 B+ k* i( S$ f8 H
Holes, 空洞
' c. m& R; Q7 H- f3 kHOMALS, 多重响应分析
# N( {. x% b$ [8 J& MHomogeneity of variance, 方差齐性
% J6 P' l8 W5 S5 ^' H0 b) l& eHomogeneity test, 齐性检验
- N/ c d: u! ]# T% gHuber M-estimators, 休伯M估计量 ? ]3 F6 o, a2 D5 I; V" h) U! t+ Q
Hyperbola, 双曲线6 P& M* {7 @: M
Hypothesis testing, 假设检验$ ], I0 v1 K4 r, C* E5 A' t3 e4 r
Hypothetical universe, 假设总体. r- n- T# L8 o% _
Impossible event, 不可能事件
) [$ U( H; v2 B9 c$ U; ~3 |& d. HIndependence, 独立性# G/ a& c* E0 l& ~
Independent variable, 自变量1 ^6 h& R7 d' `6 b& {$ x9 m
Index, 指标/指数4 p6 i) D( U8 i7 ^* @
Indirect standardization, 间接标准化法- H. ]' V* G8 r, u
Individual, 个体" s8 w) t9 q5 J) r* l
Inference band, 推断带4 e+ s1 e0 w( u& t8 X
Infinite population, 无限总体0 W; R4 b* `% W- D" m0 T: O
Infinitely great, 无穷大
; W) s9 D1 O; Z% d# t. ^Infinitely small, 无穷小
- c" j. W' z, D: e9 i M+ QInfluence curve, 影响曲线
/ W' t! E2 ^7 o5 K2 b7 |) sInformation capacity, 信息容量
3 Y6 k4 V9 q }Initial condition, 初始条件
5 e" Z6 l' H R3 g. L- \$ DInitial estimate, 初始估计值4 O% T! i1 K' j& g3 o! H
Initial level, 最初水平# U( h2 N0 ?3 x( G# C2 a
Interaction, 交互作用5 H2 F+ Z# \4 ]1 @
Interaction terms, 交互作用项0 }9 z( B* K( i, e/ h
Intercept, 截距4 T; Z# m3 l" |
Interpolation, 内插法$ O7 R4 p( W. T
Interquartile range, 四分位距+ w" A/ c1 b/ ^ q) T- I+ h
Interval estimation, 区间估计
' a. L7 ]; ~. w0 sIntervals of equal probability, 等概率区间
1 ?& i3 a6 b! l: L8 UIntrinsic curvature, 固有曲率
% k( Y1 U) `" S9 T+ Z7 cInvariance, 不变性
+ Q$ P# {$ x% [6 ?Inverse matrix, 逆矩阵4 r& e) U. X& C( J B% \/ V
Inverse probability, 逆概率
* U& m. ]% }. Y1 mInverse sine transformation, 反正弦变换
0 V( q) Z. c$ q$ t$ uIteration, 迭代
. v3 _: P& m3 Z( \Jacobian determinant, 雅可比行列式7 h/ D# T/ Z. B: b/ ^
Joint distribution function, 分布函数! q# [1 ?8 O& C' b
Joint probability, 联合概率- o& P) F3 L& d5 f" E/ v# {
Joint probability distribution, 联合概率分布
. s1 I: f4 q8 B) A" @9 RK means method, 逐步聚类法" u a3 f- d& J. N( x( K
Kaplan-Meier, 评估事件的时间长度
, q$ Y6 D3 o- @% ^8 f: u* SKaplan-Merier chart, Kaplan-Merier图 Y. @# @% e7 o- q W& N
Kendall's rank correlation, Kendall等级相关. s8 W5 z0 n- P0 }
Kinetic, 动力学4 c, \8 h) x2 |/ u8 Q
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
+ a3 O* J2 V7 Y8 b( F- sKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
; M w- Z3 m/ K5 s4 f% e* d( HKurtosis, 峰度3 p: b' B# Y2 M. {# y
Lack of fit, 失拟
/ e5 j# M. \4 P0 ~: i0 U @Ladder of powers, 幂阶梯
4 c& g; `# j; E) x( }9 S; `Lag, 滞后
9 r5 z; _ w9 r' \, b7 f% b- lLarge sample, 大样本2 i2 r. T" ?& c3 @ Q
Large sample test, 大样本检验 {2 P: M, ? ~. @" @/ P m# w* a
Latin square, 拉丁方" S, d0 h b0 `' t7 S. K
Latin square design, 拉丁方设计" q9 y& M) f! V5 p% J7 u
Leakage, 泄漏
: N* o7 T, N ` U3 ELeast favorable configuration, 最不利构形! O, d7 O0 r" E% c g6 [
Least favorable distribution, 最不利分布8 y2 J) s8 I5 O! ]* R
Least significant difference, 最小显著差法
1 Y1 c g. @0 S$ _1 ?Least square method, 最小二乘法! x: W* w5 M/ N7 l$ Y' G
Least-absolute-residuals estimates, 最小绝对残差估计
( Z7 R& K1 Y& L& e7 e& t' lLeast-absolute-residuals fit, 最小绝对残差拟合
& U, R E& ~6 y3 i5 c% |. `# e. j; GLeast-absolute-residuals line, 最小绝对残差线
& U h9 p3 a( a( p+ K$ Z, K4 ~1 [Legend, 图例
, @/ }1 c- p3 vL-estimator, L估计量
$ s$ H: t# Z, ^- o8 hL-estimator of location, 位置L估计量
. r6 Y2 _' d9 g0 lL-estimator of scale, 尺度L估计量+ G, Z2 z8 S9 A* O
Level, 水平
: J/ c( j% M2 F, y8 JLife expectance, 预期期望寿命 }8 c1 d) o: W& [. t8 M
Life table, 寿命表
8 A# U, K+ t) x9 R. fLife table method, 生命表法
! w+ b' S5 w4 \5 b+ B: A* V" ?Light-tailed distribution, 轻尾分布4 i: L' I& I% u3 i: `% M
Likelihood function, 似然函数/ @. n1 g9 F) L! c
Likelihood ratio, 似然比3 N+ r2 U% K& ~, W
line graph, 线图0 U5 M! e& f' f; Y. \0 x9 o
Linear correlation, 直线相关: \% D* U; s" O3 f! D
Linear equation, 线性方程
" Y# _) |+ {, T& BLinear programming, 线性规划! S* p) ?( l: e% M) Y
Linear regression, 直线回归. z$ q; q; G9 j0 H* y; H
Linear Regression, 线性回归4 ]% C* {9 a! E5 J$ V& a
Linear trend, 线性趋势1 b2 t& S9 y$ [ b% a3 y
Loading, 载荷
1 t, t( w! `7 n% LLocation and scale equivariance, 位置尺度同变性. W4 u( r5 U4 ]- J
Location equivariance, 位置同变性0 S+ n2 H' g* |: f" }/ k
Location invariance, 位置不变性
3 a- t7 P8 J5 a5 \* H! U- j# P1 p7 n9 {Location scale family, 位置尺度族5 F+ x9 ~% D A0 J
Log rank test, 时序检验 2 V [: n' s8 w1 z }
Logarithmic curve, 对数曲线
) I( H: x$ C0 d: tLogarithmic normal distribution, 对数正态分布1 ~& p/ ^$ B0 T" j" O3 J/ m
Logarithmic scale, 对数尺度
; y7 \" u# N2 eLogarithmic transformation, 对数变换# \9 ?) I0 K% r* S2 c: O
Logic check, 逻辑检查$ O- h2 E$ ^; J. r
Logistic distribution, 逻辑斯特分布7 D! B2 B3 o; G2 d3 z! S5 d
Logit transformation, Logit转换
- b8 F6 h! e A; U3 k; {# j4 d* LLOGLINEAR, 多维列联表通用模型
/ o4 g2 z) ^! h1 s% S! ?+ V( oLognormal distribution, 对数正态分布
9 J$ C4 b8 c1 l' \1 `; ?( sLost function, 损失函数
' }" b% }# W- C# \1 m8 y* VLow correlation, 低度相关4 R/ P" _& V0 b6 L* j# g: I1 z2 ?# Y
Lower limit, 下限
6 d) I, M0 \8 ^. v, qLowest-attained variance, 最小可达方差
' U6 R* }# b$ }& ]LSD, 最小显著差法的简称0 h0 L% O7 M( _2 ?
Lurking variable, 潜在变量
7 H, N7 d; g. T4 eMain effect, 主效应/ v g0 w2 N/ T' m
Major heading, 主辞标目
' i& Y8 ^' U1 j0 U5 x! DMarginal density function, 边缘密度函数0 z9 o% N# j" y/ t1 K7 T, ]
Marginal probability, 边缘概率
" W+ \; V/ y u! SMarginal probability distribution, 边缘概率分布
! e- U) R7 N) \: _1 {; R7 A# t2 e" _Matched data, 配对资料
! _7 t7 R- b& p: F7 P% L; iMatched distribution, 匹配过分布+ _% h! Y6 |( Z
Matching of distribution, 分布的匹配
4 @( O- m5 {. v( _Matching of transformation, 变换的匹配0 z u/ \8 f; a5 B
Mathematical expectation, 数学期望
6 i, g3 |2 {, g( W. |* kMathematical model, 数学模型2 A8 K2 ~. r0 V8 m$ e
Maximum L-estimator, 极大极小L 估计量/ M/ ~5 q/ F5 t0 _0 I: _& g9 B0 Q
Maximum likelihood method, 最大似然法6 V. U7 |$ A9 l! n# Q
Mean, 均数
: t9 E/ K; H' r$ {Mean squares between groups, 组间均方
$ ~8 z0 [1 V+ KMean squares within group, 组内均方9 T1 i/ a2 |( q- j) }3 D0 a: L
Means (Compare means), 均值-均值比较4 r: N1 D7 n( e& |2 p3 e
Median, 中位数* }& Q4 |5 \! x/ h2 ~. N
Median effective dose, 半数效量$ F7 s+ o9 Y" G; m! w+ y: Z3 {
Median lethal dose, 半数致死量
6 Q5 _. {% \9 e, _2 CMedian polish, 中位数平滑0 l2 t9 z3 f* v! {2 p& g a
Median test, 中位数检验
$ N2 h0 N! [- z- `2 M7 }/ lMinimal sufficient statistic, 最小充分统计量
) _( Z! e# v2 |1 }/ f5 F* t; RMinimum distance estimation, 最小距离估计
, H2 p; I0 L' p# \' C+ CMinimum effective dose, 最小有效量! F2 \+ A: B I: ]5 o& {& V
Minimum lethal dose, 最小致死量
: f4 @% U0 H0 F! _1 sMinimum variance estimator, 最小方差估计量
% k: s( f9 Q/ J: ]! l3 MMINITAB, 统计软件包% @7 |4 E+ |4 q8 }: C `0 ]
Minor heading, 宾词标目
: r( L( }5 ]) K+ F# |Missing data, 缺失值
9 R- U( C) n9 P; @& R' ^$ XModel specification, 模型的确定
) ]; {( ~; |! Z" o cModeling Statistics , 模型统计
9 Q8 r7 B& G9 ^: P( xModels for outliers, 离群值模型
2 K6 D7 @1 b% t2 N0 R: tModifying the model, 模型的修正
( n/ x) P& I% z* z$ BModulus of continuity, 连续性模, S- c. E9 N+ k0 e. p
Morbidity, 发病率 2 V+ E/ f' r: i2 V& z$ q
Most favorable configuration, 最有利构形
; [6 Z: U- C3 }" ~) r' q: fMultidimensional Scaling (ASCAL), 多维尺度/多维标度& y5 E% q# Y3 `
Multinomial Logistic Regression , 多项逻辑斯蒂回归9 K5 E3 ^9 g& @* \( [, K2 X& t
Multiple comparison, 多重比较1 K' L# Q& }' B" y
Multiple correlation , 复相关) }' q+ o @( x
Multiple covariance, 多元协方差8 {: t# s6 r! a0 j" h2 v4 Q& j
Multiple linear regression, 多元线性回归$ J" k+ t( L- X& T' _
Multiple response , 多重选项
5 E1 s/ O g; Y1 i1 D# zMultiple solutions, 多解
3 p+ ]4 s0 |& ~+ X& o$ T4 v0 bMultiplication theorem, 乘法定理& [0 I) V; M6 }4 k B" T4 M
Multiresponse, 多元响应0 g8 W( M' j9 _" u0 J/ v$ B
Multi-stage sampling, 多阶段抽样/ p, [! t+ I+ X }
Multivariate T distribution, 多元T分布3 R% R8 J* x' ?7 [
Mutual exclusive, 互不相容6 [" V* A0 S) H, y" Y4 r* t0 x( j
Mutual independence, 互相独立
N6 F6 w4 r# s8 q/ F* MNatural boundary, 自然边界
* {8 \5 P. }" s2 W* n7 }3 M e7 FNatural dead, 自然死亡
8 P l @$ N. XNatural zero, 自然零+ y0 j* B' E/ n4 E2 Y1 ]& R& j
Negative correlation, 负相关
u6 |; E; J) A5 aNegative linear correlation, 负线性相关* O! i4 i: G& u/ S$ |7 {3 P
Negatively skewed, 负偏
9 B9 q. M) V7 }% f9 a- oNewman-Keuls method, q检验
/ ?1 S) {* ~, J% \+ ANK method, q检验
7 i8 P' c: [% \4 u+ U: XNo statistical significance, 无统计意义
9 [ }% n7 T' A% qNominal variable, 名义变量; m( R! ~5 n7 E5 V8 {* Y
Nonconstancy of variability, 变异的非定常性
' m, W0 u( ], X6 I0 S% {6 @/ MNonlinear regression, 非线性相关+ n6 _$ h& V' ]) ~7 X
Nonparametric statistics, 非参数统计: o2 p7 L5 H. p( H+ g
Nonparametric test, 非参数检验5 ~* b3 `% j& {- }5 }
Nonparametric tests, 非参数检验9 s5 X6 g, j+ T( P8 a6 s; }- d
Normal deviate, 正态离差
; W- }& d' Q( Y* c! H- uNormal distribution, 正态分布
/ _0 L4 }- m7 R, H2 dNormal equation, 正规方程组
/ e7 V o& C c: D9 e8 DNormal ranges, 正常范围
$ Y8 V/ r9 k& w( z) wNormal value, 正常值/ C. f+ v5 s" i! r/ C: G# y
Nuisance parameter, 多余参数/讨厌参数% n. Z0 ~0 |3 E
Null hypothesis, 无效假设 ' n; Y' x+ T/ v, f I: u, i
Numerical variable, 数值变量( b6 O. i# [8 W' L+ p- ]) G- A
Objective function, 目标函数
! Q3 b+ R J N, M9 V$ n6 ~4 MObservation unit, 观察单位+ z# W' e0 k |6 I& {6 R
Observed value, 观察值
- G/ { q( g1 o7 p+ N3 X$ DOne sided test, 单侧检验
1 x7 J w) p6 k+ f0 nOne-way analysis of variance, 单因素方差分析
0 f0 f. |0 e1 BOneway ANOVA , 单因素方差分析1 q/ K5 N6 [' m+ o; h! {8 N' k+ `9 e
Open sequential trial, 开放型序贯设计
( k( M/ k# M& H$ dOptrim, 优切尾4 ]; ^* j/ W ^& b1 l# w
Optrim efficiency, 优切尾效率) I# x! D$ t* y5 a! }2 N
Order statistics, 顺序统计量
1 i3 J( b; ], {Ordered categories, 有序分类
' W0 X& K) B5 u; S/ `Ordinal logistic regression , 序数逻辑斯蒂回归' j9 q- o. M6 E9 L0 b! P& B
Ordinal variable, 有序变量
( H# A/ j N5 g1 [1 D. `! EOrthogonal basis, 正交基3 W3 y1 n* G1 K2 j
Orthogonal design, 正交试验设计' N+ w0 r# u+ F. F" s' x. `
Orthogonality conditions, 正交条件$ t9 L% y! s+ O- `# L" I% o7 S- j
ORTHOPLAN, 正交设计
4 p- f# z x0 ]) BOutlier cutoffs, 离群值截断点
- s# w! C+ m& V" k! L: e3 G- @* {5 SOutliers, 极端值
' k2 L9 ]% q+ U, UOVERALS , 多组变量的非线性正规相关 " f- w2 U1 h5 B0 W2 e
Overshoot, 迭代过度
$ q; q! g2 I- ~# ?% m" Q& S3 ~Paired design, 配对设计8 E: f! B, Y$ C9 D" B
Paired sample, 配对样本/ T( [3 a. v0 H0 }/ o
Pairwise slopes, 成对斜率7 n+ V, L5 J. X# g6 l
Parabola, 抛物线
6 {1 [- r, _2 A/ ~Parallel tests, 平行试验
2 z s F' ^' iParameter, 参数
7 V! J# D2 j9 ?% R! W% ?- r( |Parametric statistics, 参数统计
. c) m& T% `0 ?1 a3 gParametric test, 参数检验
: Y) _3 O. p- @6 `# I) \Partial correlation, 偏相关% Q7 Z8 }# Z1 x. x9 y
Partial regression, 偏回归
( W* ?5 a% ]( U4 v$ t% |& W7 LPartial sorting, 偏排序
2 K' J) M# ~) s$ n" c4 P" cPartials residuals, 偏残差
7 P. c$ j& j0 I4 l+ _Pattern, 模式$ u/ g+ K' z2 T( ]* E$ F$ d
Pearson curves, 皮尔逊曲线
+ X, }1 J+ W; E/ w& FPeeling, 退层: H2 g# Z2 R J* A( Y9 j% |
Percent bar graph, 百分条形图
- `0 j6 o7 Z+ B3 |8 s4 f1 g0 e9 hPercentage, 百分比
9 o8 h# V3 o- s1 W; ]5 WPercentile, 百分位数
' ]" K8 m R# d% }$ FPercentile curves, 百分位曲线: S, t8 ~0 S3 X" C8 s, z, w
Periodicity, 周期性
0 M9 [1 C' I; L% \, T% T8 [Permutation, 排列
2 ^. H9 D9 _9 a' cP-estimator, P估计量9 g& m9 o/ j8 _5 @
Pie graph, 饼图0 `% }( \! `9 d3 s/ n8 [- e, \4 i
Pitman estimator, 皮特曼估计量
; G9 h1 d$ L! H& b, xPivot, 枢轴量
) |! X6 r2 w; [* E. E& s5 V# p0 \- aPlanar, 平坦) o" k' O: o2 R5 I# J
Planar assumption, 平面的假设
; a1 m% c3 T$ `/ Q3 ]4 TPLANCARDS, 生成试验的计划卡& d: ]3 t# C2 h6 ^
Point estimation, 点估计! s# o9 W0 ?- U3 m( C/ ~
Poisson distribution, 泊松分布
2 G1 L6 a; e2 B/ t% N9 U! LPolishing, 平滑. x5 V5 t$ i: i# U
Polled standard deviation, 合并标准差" e2 K- K9 z {0 p
Polled variance, 合并方差
2 c( T6 h$ a; M( RPolygon, 多边图
9 C! [; C O2 f+ G# M% w pPolynomial, 多项式
. c; c; @! k" v) x o3 M$ uPolynomial curve, 多项式曲线3 R# Q4 H, X) S# S& w7 `
Population, 总体
0 I0 |4 |5 {+ x9 P) p: NPopulation attributable risk, 人群归因危险度; Y5 L! ]) c5 c* \1 F0 t
Positive correlation, 正相关1 E8 l+ Y a9 e; G0 H" P
Positively skewed, 正偏; @+ {- \& w9 a# `
Posterior distribution, 后验分布
2 C% @# k, X: T& S7 K# T! Z; RPower of a test, 检验效能6 o5 A/ Y0 A& y- Y( v. b* z! s
Precision, 精密度, \; @) u3 `4 r! f% N
Predicted value, 预测值) c% G( d4 I/ L; B. x
Preliminary analysis, 预备性分析) w' x4 F9 `) ?: r C/ _/ z
Principal component analysis, 主成分分析
8 ?3 V# s- ^* G% j$ {Prior distribution, 先验分布
- k1 k4 z# F2 G0 G2 V' t% zPrior probability, 先验概率
! c, m2 E$ t2 m* m/ |/ CProbabilistic model, 概率模型
- U/ O/ D& W1 G' lprobability, 概率
; ~% H5 x$ S: F9 z5 t, ]& BProbability density, 概率密度
9 [) M5 d$ k( E: \$ v' lProduct moment, 乘积矩/协方差1 m% x* t7 m# x. z! \, a
Profile trace, 截面迹图- @$ d" `& M( C1 G2 Z
Proportion, 比/构成比% D; O8 Q1 G; _8 h
Proportion allocation in stratified random sampling, 按比例分层随机抽样3 e& a# j, B4 K2 v
Proportionate, 成比例. G$ E' v1 B5 L% k6 O$ n r
Proportionate sub-class numbers, 成比例次级组含量+ j6 Z+ v& N( N1 G
Prospective study, 前瞻性调查
7 Z1 L3 m7 Q2 G0 [8 q( qProximities, 亲近性 % {, H$ D1 r5 p% C4 I/ t9 f6 ^
Pseudo F test, 近似F检验
* \( w( A5 J2 j5 n1 e, k$ b, v' IPseudo model, 近似模型
# d4 d* X& _% \. f: v! KPseudosigma, 伪标准差! e7 v; J3 n+ z* S4 T& O
Purposive sampling, 有目的抽样" @1 |! _( D d4 S' q+ A
QR decomposition, QR分解: r2 d- o h5 O: O4 R) Z
Quadratic approximation, 二次近似
# g: ]" Q1 B5 M1 MQualitative classification, 属性分类6 h8 d3 _3 O+ [' E2 o1 A) X' [ B
Qualitative method, 定性方法
6 D3 l& f2 w4 O0 {" DQuantile-quantile plot, 分位数-分位数图/Q-Q图- D' W. a4 @/ B! o* J/ z
Quantitative analysis, 定量分析
* A/ ^ c5 y1 V( q5 ^1 ^0 ?. xQuartile, 四分位数
' x' g; X+ @8 w5 n I# `5 q+ FQuick Cluster, 快速聚类
9 [' k9 O/ g& s1 P! Y0 d) PRadix sort, 基数排序
/ M! t: n* d: m/ l4 N3 BRandom allocation, 随机化分组
2 k' Z$ H1 d1 J& ?; CRandom blocks design, 随机区组设计
& K1 s5 G7 i* p' S1 V! FRandom event, 随机事件. G x3 q- E+ S" ~0 r' Y" U
Randomization, 随机化$ p+ x! ]4 }: V& q
Range, 极差/全距0 h0 F. }. q/ G/ ~' w
Rank correlation, 等级相关) T9 y0 I* A0 Z3 f1 |" \; p
Rank sum test, 秩和检验) B( Q( n' M7 F; v% z
Rank test, 秩检验
/ S- B: I/ l/ Y5 M9 F0 t1 fRanked data, 等级资料' e4 p+ I( q4 B& d3 r
Rate, 比率
( {1 O4 w) n1 e! Z" c2 I v& BRatio, 比例: ~0 |& Y9 I3 _
Raw data, 原始资料4 S( ]/ O8 r& `2 W7 c
Raw residual, 原始残差0 y M0 M5 S0 u) ^" Y. R
Rayleigh's test, 雷氏检验. ^; C; ?& V/ \+ G O
Rayleigh's Z, 雷氏Z值
+ w, a4 }8 }2 ~ i; G) g" T( vReciprocal, 倒数1 S: e" ^6 u1 F" q5 j9 Z
Reciprocal transformation, 倒数变换
4 D+ l2 P8 C0 XRecording, 记录
. L7 ?4 j5 e rRedescending estimators, 回降估计量
7 l, `3 q" J/ vReducing dimensions, 降维
% i" u/ k' K( c1 ?Re-expression, 重新表达0 {- ?/ L1 w( S& _
Reference set, 标准组
$ M2 r' O, E/ V8 WRegion of acceptance, 接受域
. ^, G0 L! l" B. E ]) sRegression coefficient, 回归系数
L$ k+ y* e% k8 HRegression sum of square, 回归平方和, U1 Y. d# d; Y/ h: \7 X9 H, T
Rejection point, 拒绝点
4 ~; l. x7 \9 |Relative dispersion, 相对离散度
" I6 v$ R. f6 ]7 z! ZRelative number, 相对数) q$ H' }& {/ c4 T# d0 z
Reliability, 可靠性6 n1 n( V( d# S( X" E- Y: j
Reparametrization, 重新设置参数
9 s) `! L4 U4 p$ xReplication, 重复
# E3 i. g3 S* W- GReport Summaries, 报告摘要% [$ t6 j- ]- V6 M$ z& S
Residual sum of square, 剩余平方和$ n, }4 v& p0 h0 _
Resistance, 耐抗性5 B) q, z1 X6 T" |5 {1 R
Resistant line, 耐抗线/ f% F3 g. l$ |# r) D
Resistant technique, 耐抗技术* C+ S! c/ L) F. s$ r
R-estimator of location, 位置R估计量3 ~& z2 c2 p/ f x& }' C& M) x! a
R-estimator of scale, 尺度R估计量
0 V( ]! ~% L6 _- pRetrospective study, 回顾性调查
# o" u# V& l/ o2 `7 HRidge trace, 岭迹
1 X2 D& [' d+ k+ k3 i: @, t) eRidit analysis, Ridit分析5 H" F, L1 p0 e. P# g
Rotation, 旋转; g' R6 x% Z$ f+ L8 u0 j
Rounding, 舍入
% i! O9 K) f7 c4 PRow, 行, q9 T- x5 V( ^" X. F
Row effects, 行效应7 r* k* s% ]6 U, ]. l
Row factor, 行因素- D8 R4 {: Y) i/ Q1 x
RXC table, RXC表- m6 @9 C, d" J& C+ P$ g) n6 Z
Sample, 样本
C7 c' [0 ~! X* @( vSample regression coefficient, 样本回归系数
- t) I% H& {0 O5 N" r' NSample size, 样本量, g# c; y K3 l+ y0 L
Sample standard deviation, 样本标准差
# L: `4 @; u+ Q, wSampling error, 抽样误差
, x, U1 J' Y! e7 ~9 ~SAS(Statistical analysis system ), SAS统计软件包1 B4 u! }0 d9 u1 A2 O8 k% ^
Scale, 尺度/量表! W. P9 X1 x% i; H: R
Scatter diagram, 散点图
: y0 b) x+ z* [/ ?) J0 CSchematic plot, 示意图/简图
) x' L8 t2 m, M n8 b% OScore test, 计分检验: t1 ]; |4 J4 e0 ~4 S- \
Screening, 筛检
1 t9 J# L/ _3 X3 @3 v4 NSEASON, 季节分析 ! P W$ C7 ~: L/ A
Second derivative, 二阶导数8 @, {5 n* x( E6 n, t
Second principal component, 第二主成分
# u |% e" E9 v1 hSEM (Structural equation modeling), 结构化方程模型 z3 S& S8 K) e! ^" o. n
Semi-logarithmic graph, 半对数图! {" ]% U( E- T: I7 E
Semi-logarithmic paper, 半对数格纸. A* t9 \3 h4 ~$ O
Sensitivity curve, 敏感度曲线0 `3 {$ r% E; ]8 E1 q& ]. B7 Q* ?
Sequential analysis, 贯序分析$ @# f/ H* b3 ?6 r1 ?8 ? N& l1 d
Sequential data set, 顺序数据集
# C, g1 _" @0 V2 KSequential design, 贯序设计
% ] w5 f/ p0 | ^Sequential method, 贯序法- {7 U5 p- h3 R& V1 F: {0 n0 V8 d
Sequential test, 贯序检验法
9 e3 U, I" i# d9 \" l& m& x, kSerial tests, 系列试验 B1 u5 c& c$ `9 N( \5 N
Short-cut method, 简捷法
& l; k1 j- m' d6 D6 tSigmoid curve, S形曲线, {% M- E" D, |& Y% I- F
Sign function, 正负号函数
2 J) y5 i, w1 t% w CSign test, 符号检验
" S0 k, M, j- C4 fSigned rank, 符号秩
8 O% r v {3 @& H6 n' ^Significance test, 显著性检验( }; A% E# n, x) Q: F" o
Significant figure, 有效数字/ \5 r5 ]+ f; w8 R0 Q+ h
Simple cluster sampling, 简单整群抽样6 w) s9 I/ n9 r2 @% o3 ?
Simple correlation, 简单相关) V: g9 |% O( ]" l
Simple random sampling, 简单随机抽样. V" W" A, P# C
Simple regression, 简单回归/ H7 j# U; M s. M
simple table, 简单表6 Z: ^5 x# X- z' Y
Sine estimator, 正弦估计量
* |3 b i; j7 ~; O/ q) o+ pSingle-valued estimate, 单值估计
4 k2 S6 v: a; T. [Singular matrix, 奇异矩阵
, a% N% a/ ?1 r# x$ wSkewed distribution, 偏斜分布
6 k# d9 M; E3 [Skewness, 偏度
' P$ z8 g/ q9 v: K( DSlash distribution, 斜线分布
0 ?; f3 A6 j& N3 [7 t( JSlope, 斜率% b3 Q$ J) W2 d, U+ [, a
Smirnov test, 斯米尔诺夫检验
7 U6 F4 H7 x6 y' h8 aSource of variation, 变异来源6 W0 g. y* X. L* s3 J6 u+ d$ Q
Spearman rank correlation, 斯皮尔曼等级相关
" a3 v" G7 ]) T3 D& _Specific factor, 特殊因子2 |# `, |' M+ }% ?% `) V/ X
Specific factor variance, 特殊因子方差3 M' c: M6 v, H
Spectra , 频谱7 E- H8 }3 D- r# s) K0 {
Spherical distribution, 球型正态分布
/ m) S8 ^8 R) g) k( LSpread, 展布
! B" h8 D; A( u( V% C# y. w8 t# V bSPSS(Statistical package for the social science), SPSS统计软件包
3 h+ P% x+ _" f) JSpurious correlation, 假性相关' t- D' R0 K0 l4 _
Square root transformation, 平方根变换
% m7 C, E1 h5 z& o1 P1 G( r& FStabilizing variance, 稳定方差4 z, C1 {; X7 q( }0 k5 F( \
Standard deviation, 标准差
- G1 k8 M8 g* {: _Standard error, 标准误
& Z: Z1 F: O% U- r! aStandard error of difference, 差别的标准误
" C; `; y( P S: _" U GStandard error of estimate, 标准估计误差
+ j+ i) i2 Y# x& |0 `: {' j. X+ S8 m0 YStandard error of rate, 率的标准误$ B- y2 ^' o5 Z' p. j0 C
Standard normal distribution, 标准正态分布
$ d+ k9 V! K( T7 I% pStandardization, 标准化
, ?2 O& s, O6 Y, \$ n* l( K9 fStarting value, 起始值& }6 A" X: ]4 h) B8 B0 j
Statistic, 统计量
9 q! _1 {7 O; C: E/ E5 ~0 u9 o+ P" [Statistical control, 统计控制" j; z) I0 w: n$ J, Z, R
Statistical graph, 统计图% c9 ^9 I5 m L
Statistical inference, 统计推断3 o6 O( P8 ~: v, k
Statistical table, 统计表9 Q; C( w8 R0 }) {$ p" B3 l: v
Steepest descent, 最速下降法7 U" L% G4 v; X& j# \% A
Stem and leaf display, 茎叶图
. Z/ {2 R* O; g: M/ HStep factor, 步长因子) L% c3 F* z$ ?9 }7 h
Stepwise regression, 逐步回归
# @8 a4 |( v3 i M! h5 rStorage, 存
0 P* H8 I; C# h4 z1 |# y6 u- @* H; T$ oStrata, 层（复数）# D% z2 W& e& Q" T5 y
Stratified sampling, 分层抽样
: V0 N' |/ D0 B* `# L. PStratified sampling, 分层抽样9 n0 d' k5 f8 N: h
Strength, 强度
. ?( g) r! S6 f5 O0 o& Y/ VStringency, 严密性: i$ ]4 ~1 O% ~1 E, P# Y' r
Structural relationship, 结构关系9 r' v4 g% K2 P: b9 ?3 q2 {
Studentized residual, 学生化残差/t化残差 G j1 j0 a9 T5 Y0 b
Sub-class numbers, 次级组含量' n6 Y5 j5 B8 L/ ~
Subdividing, 分割% X6 I2 _4 q2 `4 g4 h8 ?' f
Sufficient statistic, 充分统计量7 P- C% Z; `$ M
Sum of products, 积和
x$ V% t. C' f6 O YSum of squares, 离差平方和
* q5 @, y, ]+ x- y; PSum of squares about regression, 回归平方和) V# Q) Z: r& W/ m& n) A
Sum of squares between groups, 组间平方和6 q' h7 C! k7 s. X, {& Y% Q3 M9 [
Sum of squares of partial regression, 偏回归平方和
/ r2 v3 g& E* D: ^# WSure event, 必然事件# A* Y, y1 X t( r" _3 Q2 o* X" d
Survey, 调查2 z& @5 f6 F/ u5 T0 l' e
Survival, 生存分析4 ~( g1 U/ |7 h1 M# ^
Survival rate, 生存率& d9 I8 H6 q6 R U; c3 ?
Suspended root gram, 悬吊根图2 w: n+ Y, r1 k6 h
Symmetry, 对称
! F9 |9 O0 C wSystematic error, 系统误差/ ?; Q: b; x) v! {8 M' P7 I2 [
Systematic sampling, 系统抽样
) U8 k W, H# j1 z. ]. x. ~* NTags, 标签8 Q! w6 q$ y- z- L6 N& b3 I" x I' T
Tail area, 尾部面积
' F! M2 p; }- eTail length, 尾长
9 @; j; L7 ~2 l" {, L5 }Tail weight, 尾重
7 ?* l; t9 v- z( p6 q5 OTangent line, 切线
h+ o" J# l" f) qTarget distribution, 目标分布
1 {, \ V5 E) Q! dTaylor series, 泰勒级数$ a) S) G. r$ D8 @ N% N; _
Tendency of dispersion, 离散趋势 u( \2 w9 l/ {0 B7 Y+ {4 l
Testing of hypotheses, 假设检验$ L8 ~" q0 ?3 ?3 |2 I# k
Theoretical frequency, 理论频数
: ]$ J1 X! Q# B+ m6 }& VTime series, 时间序列9 w T0 q; t; |% N+ T9 r' Z
Tolerance interval, 容忍区间
v' b- Z( I4 ] L. Y5 s# qTolerance lower limit, 容忍下限
' X1 x. Z/ e! |5 oTolerance upper limit, 容忍上限" g8 P% N% O" @( y# j5 _3 D
Torsion, 扰率
8 k$ R w* O3 b1 PTotal sum of square, 总平方和; Z# V9 }# X F9 X! c3 J
Total variation, 总变异
$ N9 A! e# z, zTransformation, 转换1 [' T: ?; a: D, t8 z9 s# S
Treatment, 处理1 Q u V& G% L3 @" I
Trend, 趋势
; `. y' P& Y6 oTrend of percentage, 百分比趋势
0 v) y5 S1 _8 gTrial, 试验
2 F9 n) t" E/ [; |* gTrial and error method, 试错法4 q' |0 X8 J0 v( |9 w2 U
Tuning constant, 细调常数
+ Q( O/ h, e9 PTwo sided test, 双向检验
) [) L. S4 j8 M: P# d, QTwo-stage least squares, 二阶最小平方8 q% x5 p- s0 N2 T
Two-stage sampling, 二阶段抽样
1 `9 M$ g" p4 `' `+ hTwo-tailed test, 双侧检验
" [9 h3 z5 J/ f+ }Two-way analysis of variance, 双因素方差分析
* T8 I1 ?; V3 E8 BTwo-way table, 双向表
8 I" b1 n5 e: N6 U( i9 w8 CType I error, 一类错误/α错误
0 f) B! Y _9 _Type II error, 二类错误/β错误
$ T! c. S1 b! I1 {( V7 xUMVU, 方差一致最小无偏估计简称3 ~1 k8 ^9 F0 J @) w
Unbiased estimate, 无偏估计+ |" l) g+ e- _$ p* |
Unconstrained nonlinear regression , 无约束非线性回归; N0 U) d. Z( |- ?, c% C
Unequal subclass number, 不等次级组含量
4 d2 C0 _* R( l8 sUngrouped data, 不分组资料
- l7 }6 [. g$ v/ }, z, e; lUniform coordinate, 均匀坐标9 |# I! j$ Q: m, k9 k
Uniform distribution, 均匀分布 T/ c9 o! N( {2 _ Y q# T' ~
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
$ l: Q% l. p Y/ nUnit, 单元# I3 o( `) f3 v3 N
Unordered categories, 无序分类) C, W/ O0 z \8 b/ |' x
Upper limit, 上限
: C5 g3 X. F# b; p( U/ @0 TUpward rank, 升秩& I# s E: K+ _' T j9 z
Vague concept, 模糊概念
7 O+ p$ {* r ^0 U- @/ S4 `$ P8 qValidity, 有效性
3 y, g1 I9 x& o( AVARCOMP (Variance component estimation), 方差元素估计8 g7 ~# z# \7 ?" m# ^9 X; R; N
Variability, 变异性
! E. z3 `, q/ b2 e7 D/ w; @/ i! ?Variable, 变量, `! r1 K% T5 E1 Q/ i, L
Variance, 方差
! A% H x1 f7 r+ F7 [Variation, 变异
$ _' Z( y) q# V- L1 d8 W/ H5 hVarimax orthogonal rotation, 方差最大正交旋转# \: b' {. Z; P; c+ u p1 A/ c' W9 O" y
Volume of distribution, 容积
. F7 ?! W# h+ S3 b5 TW test, W检验
; j* M; f5 D8 x$ E# D5 G# c$ mWeibull distribution, 威布尔分布
" V' [+ s3 |$ L# F, @, K7 X' f/ ]8 DWeight, 权数
+ `5 H9 ]8 t! S& r4 VWeighted Chi-square test, 加权卡方检验/Cochran检验
1 z% c* @( E( kWeighted linear regression method, 加权直线回归/ n% n' F3 }- L, \; y, A
Weighted mean, 加权平均数
7 g! u$ U x" U }5 dWeighted mean square, 加权平均方差8 K, R- L) N0 t0 [ S& b
Weighted sum of square, 加权平方和
* R/ v' _- B5 g/ e7 ^0 DWeighting coefficient, 权重系数
# u S& X# `( {2 u1 vWeighting method, 加权法
& n6 ^1 {8 s, ^7 K6 h, a. e) L" sW-estimation, W估计量* A0 S9 E+ H/ s
W-estimation of location, 位置W估计量
+ R' k2 c I: g0 e+ Q. wWidth, 宽度; e0 `+ o0 u; M7 P- g3 T, [5 \
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
! |9 ?- T% ^0 P" X! `2 P6 tWild point, 野点/狂点
! S5 {" j5 ?; G* g: OWild value, 野值/狂值; S# C" z- f5 q# j/ G
Winsorized mean, 缩尾均值
/ X1 q4 U; a4 I( [" O5 }9 w6 yWithdraw, 失访 0 F8 o D, \3 L% \
Youden's index, 尤登指数
; q4 ?+ D: V* k" Q2 n% xZ test, Z检验7 ~1 p) A3 x& ^4 ^. r
Zero correlation, 零相关
) C+ a4 G; X' T6 H( Z) d3 |Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
